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Discovery of Lexical Entries for Non-taxonomic Relations in Ontology Learning

  • Martin Kavalec
  • Alexander Maedche
  • Vojtěch Svátek
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2932)

Abstract

Ontology learning from texts has recently been proposed as a new technology helping ontology designers in the modelling process. Discovery of non–taxonomic relations is understood as the least tackled problem therein. We propose a technique for extraction of lexical entries that may give cue in assigning semantic labels to otherwise ‘anonymous’ relations. The technique has been implemented as extension to the existing Text-to-Onto tool, and tested on a collection of texts describing worldwide geographic locations from a tour–planning viewpoint.

Keywords

Lexical Entry Semantic Label Taxonomic Relation Concept Pair Ontology Engineering 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Martin Kavalec
    • 1
  • Alexander Maedche
    • 2
  • Vojtěch Svátek
    • 1
  1. 1.Department of Information and Knowledge EngineeringUniversity of EconomicsPraha 3Czech Republic
  2. 2.Robert Bosch GmbHStuttgart-FeuerbachGermany

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